lobbyTO

Registration SM27728 · consultant

RioCan

Status: closed by lro12 February 2019 to 12 February 2022Source datasetReport an error on this page
Communications
1
1 offices contacted
Lobbyists
1
Linked agenda items
0
Published links only
Linked applications
1
Published links only

Who

Client
RioCan
Consultant firm
Hariri Pontarini Architects
Registrant
David Pontarini
Type
consultant
Status
closed by lro
Dates
Approved 21 March 2019; 12 February 2019 to 12 February 2022

Subject matter

  • Planning and Development Application, Zoning By-law

Source: City of Toronto Lobbyist Registry (open data). Dataset page.

Particulars

Planning and Development for RioCan Hall; John & Richmond (126 John Street)

Addresses named: 126 John St

Automated summary of the registration text

Registered, communicating about Planning and Development for RioCan Hall; John & Richmond (126 John Street)

Generated from the registration text only. Read the particulars for the registrant's own words.

Lobbyists

Organisations named

Communications

Communications per month

2019-02 to 2019-02

1 communication

How and with whom

By method · 1 meeting

By office holder

Most-contacted offices

  • Ward 10 Spadina-Fort YorkMember of council1
Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Ward 10 Spadina-Fort YorkMember of council1112 February 2019
All communications· 1 row
1 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
12 February 2019Ward 10 Spadina-Fort YorkJoe Cressy
Member of council
—Meeting—

"Member's office" is the member of council whose office was contacted (the member or their staff), resolved from the office holder name and office recorded in the registry.

Linked agenda items

No published links to agenda items.

Linked development applications

These links are inferred by lobbyTO from file numbers and addresses named in the registration (task L2); the registry does not record which application a registration concerns.

Links between records are inferred by a model and are not reviewed by a person. Each link shows its score out of 1; moderate-confidence links (0.7 to 0.9) are wrong more often than high-confidence links. How links are scored